International Journal of Advanced Mechatronic Systems (5 papers in press)

Regular Issues

• Performance evaluation of grid connected photovoltaic system using AOA tuned VPTIDF  
  by Debswarup Rath, Akshaya Kumar Patra, Samjeeb Kar 
  Abstract: This manuscript presents the design of Archimedes optimisation algorithm-variable parameter tilt integral derivative with filter (AOA-VPTIDF) controller to reduce the harmonic distortion, improves performance of grid connected solar micro inverter. Classical controllers with optimisation techniques are seen to improve performance, but it failed to make the system robust. Robustness can be improved by considering control parameter as a function of error. This is utilised in the proposed novel control technique. The nonlinearities present in photovoltaic system framework cause power quality issues and occasional faults. The use of Levenberg-Marquardt algorithm (LMA)-based machine learning technique efficiently detects a fault condition from standard operating conditions efficiently. AOA tuned VPTIDF along with direct and quadrature control (DQC)-based sinusoidal pulse width modulation (SPWM) technique is implemented in this manuscript. This proposed model is analysed for reduction in harmonic, improved system performance and fault classification.
  Keywords: AOA tuned VPTIDF; robustness; power quality; detects fault; Levenberg-Marquardt algorithm; LMA; DQC-SPWM.
  DOI: 10.1504/IJAMECHS.2023.10050455
   
  
• Nonlinear control of time-varying delayed process using a modified particle filter  
  by Kakeru Fujioka, Mingcong Deng 
  Abstract: In recent years, wireless communication of controllers has been required due to concerns about wiring costs. In the practical application of wireless communication for controllers, the influence of communication delay must be considered. In a previous research, nonlinear temperature control of a heat exchange process was performed by wireless communication, and the particle filters were used to reduce the influence of communication delay. In this research, the resampling method was improved to reduce the execution time of the particle filter program. The resampling method was modified and the resampling timing combined with a statistical method was introduced. Simulation and experimental results show that IQR reduces the disturbance of the control input and reduces the particle filter execution time by about 15.620%.
  Keywords: nonlinear intelligent control; operator theory; robust right coprime factorisation; heat exchange process; particle filter; time-varying delay.
  DOI: 10.1504/IJAMECHS.2023.10054781
   
  
• Optimising inverse kinematics algorithm for an indigenous vision-based feeding serial robot using particle swarm optimisation and hybrid genetic algorithm: a comparison  
  by Priyam A. Parikh, Reena Trivedi, Keyur D. Joshi 
  Abstract: This paper aims to provide an optimal inverse kinematics solution for an indigenous 6 DoF feeding robot using evolutionary algorithms such as C-PSO and H-GA. Here, a case of a vision-based 3D printed serial manipulator is taken, which helps patients with meal consumption. A robotic arm passes through many intermediate points in its entire trajectory, which might create a positional error in Euclidean-space. The higher positional error can lead the robot’s end-effector to the incorrect destination. To overcome this problem, we have provided a methodology that would help to perform IK at every intermediate point using C-PSO and H-GA. To efficiently solve the problem of positional error, the IK was optimised using C-PSO and H-GA, which gave a mean PE of 4.95% and 3.78% respectively. Finally, the PE, obtained from C-PSO and H-GA were compared and plotted in 2D line and 3D surface plots respectively.
  Keywords: feeding robot; evolutionary algorithms; Euclidean distance error; inverse kinematics; particle swarm optimisation; genetic algorithm.
  DOI: 10.1504/IJAMECHS.2023.10054936
   
  
• IoT-based dataset augmentation method for oracle bone inscriptions reorganisation  
  by Tomoki Morioka, Lin Meng 
  Abstract: Deep learning techniques are wildly used in various areas. Currently, deep learning is attended in cultural heritage preservation, such as oracle bone inscriptions re-organising. Usually, deep learning techniques need rich and pure data for the training model. However, oracle bone inscriptions are weak in their limited resource. Hence, the dataset of oracle bone inscriptions should be augmented, when some new oracle bones are found. To overcome this problem, this paper proposes an IoT-based dataset augmentation method for oracle bone inscription reorganisation. We design an Android application for data collection and a cloud server application for dataset augmentation. Furthermore, an AI-Filter is designed and implemented in the Android application to keep the collected data pure. Experimental results show the oracle bone inscriptions recognition recall increases by 0.15 with the IoT-based dataset augmentation method, which proved the effectiveness of our proposal.
  Keywords: dataset augmentation; oracle bone inscriptions; internet of things; IoT.
  
  
• Development and application of a thin 3-DOF dielectric elastomer actuator  
  by Changan Jiang, Masafumi Kadokawa 
  Abstract: In recent years, soft actuators which are used to constitute flexible mechanisms, or to drive soft robots, have been actively studied because of their distinctive features such as flexibility, retractility. Among soft actuators, dielectric elastomer actuators (DEAs) are particularly superior in that they have a simple structure, light weight, low cost and high energy efficiency. In this study, in order to develop a functional compact actuator, elastomer sheet is applied to construct a thin elastomer actuator. By reasonably configuring the electrode position, 3-DOF actuation is realised. Since the performance of DEAs depends on pre-stretching status, performance test is conducted under different pre-stretching. And the relationship between applied voltage and displacement of the developed DEA is obtained from experimental results. To verify the developed DEAs effectiveness, an application of drawing figures is realised finally.
  Keywords: dielectric elastomer actuator; DEA; 3-DOF; DEA-based drawing device; smart material.